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Remote Cancer Data Analyst Jobs in Riverside, CA

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Remote Cancer Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do remote cancer data analyst jobs pay per year?

As of May 31, 2026, the average yearly pay for remote cancer data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Cancer Data Analyst, and why are they important?

To thrive as a Remote Cancer Data Analyst, you need strong analytical skills, proficiency in epidemiology or biostatistics, and usually a degree in public health, statistics, or a related field. Familiarity with statistical software (such as SAS, R, or SPSS), cancer registry databases, and data visualization tools is typically required. Attention to detail, effective communication, and the ability to work independently are crucial soft skills in this remote role. These skills ensure accurate data analysis, meaningful insights for cancer research, and seamless collaboration despite working remotely.

How does a Remote Cancer Data Analyst typically collaborate with oncology teams and other healthcare professionals?

As a Remote Cancer Data Analyst, you will often work closely with oncologists, medical researchers, and hospital data teams to interpret and manage cancer-related datasets. Collaboration is typically achieved through virtual meetings, shared data platforms, and detailed reporting, ensuring all stakeholders have access to accurate and timely information. You may be involved in multidisciplinary case discussions, supporting clinical decision-making through data insights, and contributing to research projects. Strong communication skills and proficiency with data visualization tools are crucial for conveying complex findings to non-technical team members.

What is a Remote Cancer Data Analyst?

A Remote Cancer Data Analyst is a professional who collects, analyzes, and interprets cancer-related data from various sources while working remotely. Their work supports research, clinical trials, and public health initiatives by identifying trends, tracking patient outcomes, and ensuring data accuracy. These analysts often collaborate with healthcare professionals, researchers, and public health organizations to improve cancer treatment and prevention strategies. Remote positions allow flexibility and the use of digital tools to securely access and manage sensitive health data.

What is the difference between Remote Cancer Data Analyst vs Remote Oncology Data Specialist?

AspectRemote Cancer Data AnalystRemote Oncology Data Specialist
Required CredentialsBachelor's in Data Science, Biology, or related field; experience with data analysis toolsSimilar credentials; often additional certification in oncology or healthcare data
Work EnvironmentRemote, healthcare or research organizationsRemote, healthcare providers, research institutions
Employer & Industry UsageHospitals, research centers, biotech firmsOncology clinics, pharmaceutical companies, research institutions
Search & Comparison IntentYesYes

The Remote Cancer Data Analyst and Remote Oncology Data Specialist roles share similar credentials, work environments, and industry usage. The main difference lies in terminology; the Data Specialist may focus more on specific oncology datasets and clinical information, while the Analyst emphasizes broader data analysis tasks. Both roles are essential in advancing cancer research and patient care remotely.

What cities near Riverside, CA are hiring for Remote Cancer Data Analyst jobs? Cities near Riverside, CA with the most Remote Cancer Data Analyst job openings:
Remote Cancer Data Analyst jobs near you
Remote Equity Research Analyst - AI Trainer ($50-$60 per hour)

Remote Equity Research Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Yucaipa, CA • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post has expired today. Applications are no longer accepted.

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the nextgeneration of AI while enjoying the flexibility of remote work and the freedom to set your ownschedule. This role is designed to fit a variety of lifestyles — whether you're looking tocontribute part-time alongside a current position, pursue it full-time, or engage periodically as aflexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be amore useful tool for finance professionals. We're seeking experienced finance professionalswith advanced degrees (MBA+) and professional experience to use their expertise to help shapehow AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

Inthis role, you might: Review and improve AI Assistant answers to questions about macro trends, corporatefinance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of anAI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where theirreasoning holds up – and where it doesn't. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline.

A Master's or PhD (completed or in progress) is stronglypreferred. Relevant backgrounds include Financial Accounting, Investment Banking, CorporateDevelopment, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-qualityand high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal.

We will never ask for any money from you. PayPal will handleany currency conversions from USD. This is an independent contract position.

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